Open Source Computer Vision Library https://opencv.org/
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#!/usr/bin/env python
'''
mouse_and_match.py [-i path | --input path: default ../data/]
Demonstrate using a mouse to interact with an image:
Read in the images in a directory one by one
Allow the user to select parts of an image with a mouse
When they let go of the mouse, it correlates (using matchTemplate) that patch with the image.
SPACE for next image
ESC to exit
'''
# Python 2/3 compatibility
from __future__ import print_function
import numpy as np
import cv2 as cv
# built-in modules
import os
import sys
import glob
import argparse
from math import *
class App():
drag_start = None
sel = (0,0,0,0)
def onmouse(self, event, x, y, flags, param):
if event == cv.EVENT_LBUTTONDOWN:
self.drag_start = x, y
self.sel = (0,0,0,0)
elif event == cv.EVENT_LBUTTONUP:
if self.sel[2] > self.sel[0] and self.sel[3] > self.sel[1]:
patch = self.gray[self.sel[1]:self.sel[3], self.sel[0]:self.sel[2]]
result = cv.matchTemplate(self.gray, patch, cv.TM_CCOEFF_NORMED)
result = np.abs(result)**3
_val, result = cv.threshold(result, 0.01, 0, cv.THRESH_TOZERO)
result8 = cv.normalize(result, None, 0, 255, cv.NORM_MINMAX, cv.CV_8U)
cv.imshow("result", result8)
self.drag_start = None
elif self.drag_start:
#print flags
if flags & cv.EVENT_FLAG_LBUTTON:
minpos = min(self.drag_start[0], x), min(self.drag_start[1], y)
maxpos = max(self.drag_start[0], x), max(self.drag_start[1], y)
self.sel = (minpos[0], minpos[1], maxpos[0], maxpos[1])
img = cv.cvtColor(self.gray, cv.COLOR_GRAY2BGR)
cv.rectangle(img, (self.sel[0], self.sel[1]), (self.sel[2], self.sel[3]), (0,255,255), 1)
cv.imshow("gray", img)
else:
print("selection is complete")
self.drag_start = None
def run(self):
parser = argparse.ArgumentParser(description='Demonstrate mouse interaction with images')
parser.add_argument("-i","--input", default='../data/', help="Input directory.")
args = parser.parse_args()
path = args.input
cv.namedWindow("gray",1)
cv.setMouseCallback("gray", self.onmouse)
'''Loop through all the images in the directory'''
for infile in glob.glob( os.path.join(path, '*.*') ):
ext = os.path.splitext(infile)[1][1:] #get the filename extension
if ext == "png" or ext == "jpg" or ext == "bmp" or ext == "tiff" or ext == "pbm":
print(infile)
img = cv.imread(infile,1)
if img is None:
continue
self.sel = (0,0,0,0)
self.drag_start = None
self.gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
cv.imshow("gray", self.gray)
if cv.waitKey() == 27:
break
print('Done')
if __name__ == '__main__':
print(__doc__)
App().run()
cv.destroyAllWindows()